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2020 – today
- 2023
[j5]Haoze Shi
, Naisen Yang, Xin Yang, Hong Tang:
Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots. Remote. Sens. 15(2): 358 (2023)- 2021
- [j4]Naisen Yang, Hong Tang:
Semantic Segmentation of Satellite Images: A Deep Learning Approach Integrated with Geospatial Hash Codes. Remote. Sens. 13(14): 2723 (2021) - 2020
- [j3]Naisen Yang, Hong Tang, Jianwei Yue, Xin Yang, Zhihua Xu:
Accelerating the Training Process of Convolutional Neural Networks for Image Classification by Dropping Training Samples Out. IEEE Access 8: 142393-142403 (2020) - [j2]Naisen Yang, Hong Tang:
GeoBoost: An Incremental Deep Learning Approach toward Global Mapping of Buildings from VHR Remote Sensing Images. Remote. Sens. 12(11): 1794 (2020)
2010 – 2019
- 2018
- [j1]Naisen Yang, Hong Tang, Hongquan Sun, Xin Yang:
DropBand: A Simple and Effective Method for Promoting the Scene Classification Accuracy of Convolutional Neural Networks for VHR Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 15(2): 257-261 (2018) - [c1]Naisen Yang, Hong Tang, Jianwei Yue, Xin Yang, Zhihua Xu:
Accelerating the Training Process of Convolutional Neural Networks for Classification by Dropping Training Samples out. IGARSS 2018: 7141-7144
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